| Yazarlar |
Prof. Dr. Aziz ŞAHİN
Ahi Evran Üniversitesi, Türkiye |
Zafer Ulutaş
Niğde Ömer Halisdemir Üniversitesi, Türkiye |
Arş. Gör. Emre UĞURLUTEPE
Ahi Evran Üniversitesi, Türkiye |
| Özet |
| This research was conducted to determine variance component, genetic parameters and breeding values (EBV) for the birth weight (BW) of Holstein calves. In this context, the direct genetic (σ2a), maternal genetic (σ2m) and maternal permanent environmental effects, which affect BW, were separately assessed. The multi-trait, derivative-free restricted maximum likelihood programme was used for determining the effect of the genetic parameters by using models that either included or excluded the maternal genetic and/or permanent maternal environmental effects. The estimation of the BW of Holstein calves was optimized by evaluating six different models. The best model was chosen according to the log-likelihood ratio tests. Within the context of the study, a total of 4443 calves were investigated between 1987 and 2006. Among the six different models, model 4 was selected as the best model, since it had the lowest value for the likelihood ratio. The range of the values for direct heritability (h2d) and maternal heritability (m2) were between 0.07–0.13 and 0.04–0.09, respectively. In conclusion, an estimation of the genetic parameters for BW can be used as a selection criteria for Holstein calves. |
| Anahtar Kelimeler |
| Breeding value | Direct genetic | Genetic parameters | Maternal genetic | Variance component |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale |
| Dergi Adı | Journal of Applied Animal Research |
| Dergi ISSN | 0971-2119 |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q4 |
| Makale Dili | İngilizce |
| Basım Tarihi | 01-2017 |
| Cilt No | 45 |
| Sayı | 1 |
| Sayfalar | 598 / 602 |
| Doi Numarası | 10.1080/09712119.2016.1239581 |
| Makale Linki | http://dx.doi.org/10.1080/09712119.2016.1239581 |
| Atıf Sayıları | |
| SCOPUS | 2 |
| Google Scholar | 7 |
